Does this skill prioritize gas savings over smart contract security?

No. The skill is designed to prioritize security and correctness first. Optimization techniques are only suggested after the contract's fundamental logic is secured.

How much gas can variable packing actually save?

Variable packing can save approximately 15,000 to 20,000 gas per avoided storage slot by grouping multiple small types into a single 32-byte slot.

Can this skill help with loop-heavy operations?

Yes, it provides specific patterns for caching array lengths in memory and using prefix increments to minimize the gas cost of every iteration.

Does it support the latest Solidity versions?

Yes, it includes modern patterns such as custom errors and the 'unchecked' block for increments, which are compatible with Solidity 0.8.x and above.

Solidity Gas Optimization

Name: Solidity Gas Optimization
Author: IvanTorresEdge

byIvanTorresEdge

Seguridad y Pruebas

Optimizes Solidity smart contracts by implementing gas-efficient patterns and storage techniques to reduce transaction costs.

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The Solidity Gas Optimization skill provides a comprehensive framework for identifying and resolving gas-heavy patterns in smart contracts. It enables Claude to assist with storage variable packing, memory caching, and efficient loop structures, significantly lowering the execution cost of Ethereum-based transactions. By applying advanced techniques like custom errors, calldata optimization, and assembly-level storage access, this skill helps developers create more cost-effective blockchain applications while maintaining a strict focus on security and contract correctness.

Características Principales

Conversion of expensive string-based reverts into gas-efficient custom errors
Strategic implementation of constants and immutable variables to reduce bytecode overhead
Loop optimization using unchecked increments and array length caching
0 GitHub stars
Automated storage variable packing to minimize SLOAD and SSTORE operations
Optimization of function visibility and parameter data locations (calldata vs. memory)

Casos de Uso

Reducing transaction fees for end-users in high-traffic DeFi and NFT protocols
Auditing smart contracts for efficiency prior to mainnet deployment
Refactoring legacy Solidity code to utilize modern gas-saving patterns

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Características Principales

Conversion of expensive string-based reverts into gas-efficient custom errors
Strategic implementation of constants and immutable variables to reduce bytecode overhead
Loop optimization using unchecked increments and array length caching
0 GitHub stars
Automated storage variable packing to minimize SLOAD and SSTORE operations
Optimization of function visibility and parameter data locations (calldata vs. memory)

Casos de Uso

Reducing transaction fees for end-users in high-traffic DeFi and NFT protocols
Auditing smart contracts for efficiency prior to mainnet deployment
Refactoring legacy Solidity code to utilize modern gas-saving patterns